ITK
5.0.0
Insight Segmentation and Registration Toolkit
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#include <itkImageShapeModelEstimatorBase.h>
Base class for statistical shape model estimation.
itkImageShapeModelEstimatorBase is the base class for the ImageShapeModelEstimator objects. It provides the basic function definitions that are inherent to a ImageShapeModelEstimator objects.
This is the Superclass for the ImageShapeModelEstimator framework. This is an abstract class defining an interface for all such objects available through the ImageShapeModelEstimator framework in the ITK toolkit.
The basic functionality of the ImageShapeModelEstimator framework base class is to generate the ShapeModels. It requires input image to be provided by the user. EstimateShapeModels() is a pure virtual function making this an abstract class. Classes deriving from this class are required to implement the EstimateShapeModels function.
Definition at line 49 of file itkImageShapeModelEstimatorBase.h.
Private Member Functions | |
virtual void | EstimateShapeModels ()=0 |
Private Attributes | |
InputImagePointer | m_InputImage |
using itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >::ConstPointer = SmartPointer< const Self > |
Definition at line 59 of file itkImageShapeModelEstimatorBase.h.
using itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >::InputImagePointer = typename TInputImage::Pointer |
Definition at line 66 of file itkImageShapeModelEstimatorBase.h.
using itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >::InputImageType = TInputImage |
Type definitions for the training image.
Definition at line 65 of file itkImageShapeModelEstimatorBase.h.
using itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >::Pointer = SmartPointer< Self > |
Definition at line 58 of file itkImageShapeModelEstimatorBase.h.
using itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >::Self = ImageShapeModelEstimatorBase |
Standard class type aliases.
Definition at line 56 of file itkImageShapeModelEstimatorBase.h.
using itk::ImageShapeModelEstimatorBase< TInputImage, TOutputImage >::Superclass = ImageToImageFilter< TInputImage, TOutputImage > |
Definition at line 57 of file itkImageShapeModelEstimatorBase.h.
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protecteddefault |
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overrideprotecteddefault |
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privatepure virtual |
The core virtual function to perform ShapeModelling of the input data
Implemented in itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >.
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overrideprotectedvirtual |
A version of GenerateData() specific for image processing filters. This implementation will split the processing across multiple threads. The buffer is allocated by this method. Then the BeforeThreadedGenerateData() method is called (if provided). Then, a series of threads are spawned each calling DynamicThreadedGenerateData(). After all the threads have completed processing, the AfterThreadedGenerateData() method is called (if provided). If an image processing filter cannot be threaded, the filter should provide an implementation of GenerateData(). That implementation is responsible for allocating the output buffer. If a filter can be threaded, it should NOT provide a GenerateData() method but should provide a DynamicThreadedGenerateData() instead.
Reimplemented from itk::ImageSource< TOutputImage >.
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virtual |
Run-time type information (and related methods).
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
Reimplemented in itk::ImagePCAShapeModelEstimator< TInputImage, TOutputImage >.
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overrideprotectedvirtual |
Methods invoked by Print() to print information about the object including superclasses. Typically not called by the user (use Print() instead) but used in the hierarchical print process to combine the output of several classes.
Reimplemented from itk::ImageToImageFilter< TInputImage, TOutputImage >.
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private |
Container for holding the training image
Definition at line 78 of file itkImageShapeModelEstimatorBase.h.